4 papers · 1 filter
TB or Not TB: Coverage-Driven Direct Preference Optimization for Verilog Stimulus Generation
Bardia Nadimi, Khashayar Filom, Deming Chen +1
With the rapid advancement of Large Language Models (LLMs), there is growing interest in applying them to hardware design and verification. Among these stages, design verification…
SpecMemo: Speculative Decoding is in Your Pocket
Selin Yildirim, Deming Chen
Recent advancements in speculative decoding have demonstrated considerable speedup across a wide array of large language model (LLM) tasks. Speculative decoding inherently relies o…
Building Machine Learning Challenges for Anomaly Detection in Science
Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova +148
Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not…
On the Surprising Efficacy of Distillation as an Alternative to Pre-Training Small Models
Sean Farhat, Deming Chen
In this paper, we propose that small models may not need to absorb the cost of pre-training to reap its benefits. Instead, they can capitalize on the astonishing results achieved b…